Special Issue: The Transformation of Organisational Decision Making through Intelligent Decision Support
The Transformation of Organizational Decision Making through Intelligent Decision Support, Artificial Intelligence and Big Data are now pervasive in companies as well as in the civil society. Their ubiquity tremendously modifies decision making processes, therefore forcing organisations to adapt willingly or unwillingly to these new contexts.A Special Issue on "The Transformation of Organisational Decision Making through Intelligent Decision Support" of the Journal of Decision Systems allows you to submit your research work in this issue!
This Special Issue on the Journal of Decision Systems, aims to publish original papers devoted to the transformation of organisational decision making through intelligent decision support. Specific topics to be covered include, but are not limited to:
- Organisational impact of the integration of intelligent decision support systems in decision making processes;
- Integration of intelligent decision support systems in specific domains (resource management, energy, health care) or department (production, distribution, customer relationship management, accounting, human resources); and
- Novel tools and technologies to develop and integrate AI-in-the-loop or human-in-the-loop decision tools.
This special issue will consider high quality extended papers from the International Conference on Decision Support Systems Technology (#EWG_DSS #ICDSST2022); and also papers submitted in response to the open call (https://lnkd.in/gu9_v5XG).
More information: https://lnkd.in/gu9_v5XG
https://think.taylorandfrancis.com/special_issues/transformation-organizational-decision-making/?utm_source=TFO&utm_medium=cms&utm_campaign=JPG15743
Special Issue Editors:
Isabelle Linden, University of Namur, Namur Digital Institute, NADI, Belgium
Fatima Dargam, SimTech Simulation Technology, Austria
Pascale Zarate, University Toulouse 1, Capitole, IRIT, France
Ana Respicio, University of Lisboa, LASIGE Research Lab, Portugal
Special Issue Main Theme:
